Hugging Face's logo

Datasets:
optimum-benchmark
/
cuda

Dataset card Data Studio Files Community
IlyasMoutawwakil HF staff commited on
Commit
f66c14f
·
verified ·
1 Parent(s): c5a0453

Upload cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json with huggingface_hub

Browse files
Files changed (1) hide show
  1. cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json +94 -95
cuda_inference_transformers_token-classification_microsoft/deberta-v3-base/benchmark_report.json CHANGED
@@ -2,7 +2,7 @@
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
- "max_ram": 797.26592,
6
  "max_global_vram": 1403.518976,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 773.849088,
@@ -11,24 +11,24 @@
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
- "total": 7.82026025390625,
15
- "mean": 7.82026025390625,
16
  "stdev": 0.0,
17
- "p50": 7.82026025390625,
18
- "p90": 7.82026025390625,
19
- "p95": 7.82026025390625,
20
- "p99": 7.82026025390625,
21
  "values": [
22
- 7.82026025390625
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
- "cpu": 9.674078555549038e-07,
29
- "ram": 5.148332001810996e-07,
30
- "gpu": 1.6266679679997204e-06,
31
- "total": 3.1089090237357237e-06
32
  },
33
  "efficiency": null
34
  },
@@ -43,103 +43,102 @@
43
  },
44
  "latency": {
45
  "unit": "s",
46
- "count": 72,
47
- "total": 1.0071820821762083,
48
- "mean": 0.013988640030225116,
49
- "stdev": 0.0005202257278774503,
50
- "p50": 0.013905407905578614,
51
- "p90": 0.014480281257629395,
52
- "p95": 0.014703565073013307,
53
- "p99": 0.01599551506996155,
54
  "values": [
55
- 0.016343040466308592,
56
- 0.0158535680770874,
57
- 0.014160896301269531,
58
- 0.013849632263183594,
 
 
 
 
59
  0.013935615539550781,
60
- 0.013946880340576171,
61
- 0.013910016059875489,
62
- 0.013766847610473632,
63
- 0.013783040046691895,
64
- 0.013990816116333007,
65
- 0.013906944274902343,
66
- 0.013905920028686524,
67
- 0.013914112091064454,
68
- 0.01395206356048584,
69
- 0.013846528053283692,
70
- 0.013832192420959472,
71
- 0.01376153564453125,
72
- 0.013969408035278321,
73
- 0.013731840133666993,
74
- 0.01376153564453125,
75
- 0.01377996826171875,
76
- 0.013766592025756835,
77
- 0.013806591987609864,
78
  0.014014464378356933,
79
- 0.01507532787322998,
80
- 0.014520319938659668,
81
- 0.014331904411315918,
82
- 0.014732288360595704,
83
- 0.01437183952331543,
84
- 0.014508031845092773,
85
- 0.014262271881103515,
86
- 0.014395392417907715,
87
- 0.01437491226196289,
88
- 0.013829119682312012,
89
- 0.013768704414367675,
90
- 0.01376255989074707,
91
- 0.013904895782470703,
92
- 0.014214143753051758,
93
- 0.014134271621704102,
94
- 0.014006272315979004,
95
- 0.0139716157913208,
96
- 0.013968447685241699,
97
- 0.014451711654663087,
98
- 0.01415987205505371,
99
- 0.014181280136108398,
100
- 0.014145536422729492,
101
- 0.014224479675292969,
102
- 0.014483455657958985,
103
- 0.01439846420288086,
104
- 0.014680064201354981,
105
- 0.014368767738342286,
106
  0.01387929630279541,
107
- 0.01387110424041748,
108
- 0.01374396800994873,
109
- 0.013796352386474609,
110
- 0.013765631675720215,
111
- 0.013763584136962891,
112
- 0.013730815887451172,
113
- 0.01364684772491455,
114
- 0.01367961597442627,
115
- 0.013708288192749024,
116
- 0.013213695526123047,
117
- 0.013200480461120606,
118
- 0.013191136360168457,
119
- 0.013225983619689942,
120
- 0.013586432456970214,
121
- 0.013705216407775878,
122
- 0.013402112007141113,
123
- 0.013198335647583008,
124
- 0.013237248420715332,
125
- 0.0132925443649292,
126
- 0.013627391815185547
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
127
  ]
128
  },
129
  "throughput": {
130
  "unit": "samples/s",
131
- "value": 71.48657752571442
132
  },
133
  "energy": {
134
  "unit": "kWh",
135
- "cpu": 1.662951118537852e-07,
136
- "ram": 9.07540239510079e-08,
137
- "gpu": 3.3934440727777505e-07,
138
- "total": 5.963935430825682e-07
139
  },
140
  "efficiency": {
141
  "unit": "samples/kWh",
142
- "value": 1676745.1821012658
143
  }
144
  }
145
  }
 
2
  "load": {
3
  "memory": {
4
  "unit": "MB",
5
+ "max_ram": 797.536256,
6
  "max_global_vram": 1403.518976,
7
  "max_process_vram": 0.0,
8
  "max_reserved": 773.849088,
 
11
  "latency": {
12
  "unit": "s",
13
  "count": 1,
14
+ "total": 7.87911572265625,
15
+ "mean": 7.87911572265625,
16
  "stdev": 0.0,
17
+ "p50": 7.87911572265625,
18
+ "p90": 7.87911572265625,
19
+ "p95": 7.87911572265625,
20
+ "p99": 7.87911572265625,
21
  "values": [
22
+ 7.87911572265625
23
  ]
24
  },
25
  "throughput": null,
26
  "energy": {
27
  "unit": "kWh",
28
+ "cpu": 9.274191215276064e-07,
29
+ "ram": 4.925269699401566e-07,
30
+ "gpu": 1.7244458239999358e-06,
31
+ "total": 3.1443919154676985e-06
32
  },
33
  "efficiency": null
34
  },
 
43
  },
44
  "latency": {
45
  "unit": "s",
46
+ "count": 71,
47
+ "total": 0.9977590103149415,
48
+ "mean": 0.014052943807252695,
49
+ "stdev": 0.0004774239232851675,
50
+ "p50": 0.014009344100952148,
51
+ "p90": 0.014536704063415527,
52
+ "p95": 0.014864895820617676,
53
+ "p99": 0.015637353515624997,
54
  "values": [
55
+ 0.01647804832458496,
56
+ 0.015277055740356446,
57
+ 0.014790656089782715,
58
+ 0.014370816230773926,
59
+ 0.013956095695495606,
60
+ 0.014325759887695312,
61
+ 0.014176223754882812,
62
+ 0.013817855834960938,
63
  0.013935615539550781,
64
+ 0.014064640045166015,
65
+ 0.01417728042602539,
66
+ 0.014296064376831055,
67
+ 0.014289919853210448,
68
+ 0.014054400444030762,
 
 
 
 
 
 
 
 
 
 
 
 
 
69
  0.014014464378356933,
70
+ 0.013837471961975097,
71
+ 0.014285759925842285,
72
+ 0.013973567962646484,
73
+ 0.013956095695495606,
74
+ 0.013850624084472657,
75
+ 0.014049280166625976,
76
+ 0.013824000358581542,
77
+ 0.013940735816955567,
78
+ 0.014009344100952148,
79
+ 0.014079999923706055,
80
+ 0.014106623649597168,
81
+ 0.013994976043701172,
82
+ 0.014206975936889648,
83
+ 0.014018560409545898,
84
+ 0.014038047790527343,
85
+ 0.013902848243713378,
 
 
 
 
 
 
 
 
 
 
 
86
  0.01387929630279541,
87
+ 0.01407590389251709,
88
+ 0.013923328399658203,
89
+ 0.013963264465332031,
90
+ 0.014142560005187989,
91
+ 0.014046208381652832,
92
+ 0.014649312019348144,
93
+ 0.015078399658203125,
94
+ 0.014939135551452636,
95
+ 0.014194687843322755,
96
+ 0.014092288017272948,
97
+ 0.014002176284790039,
98
+ 0.014108672142028808,
99
+ 0.013827072143554688,
100
+ 0.013938688278198242,
101
+ 0.013666303634643554,
102
+ 0.01409126377105713,
103
+ 0.014253087997436523,
104
+ 0.01439027214050293,
105
+ 0.014536704063415527,
106
+ 0.014210047721862793,
107
+ 0.014095359802246094,
108
+ 0.01467903995513916,
109
+ 0.013966336250305175,
110
+ 0.013370368003845215,
111
+ 0.013489151954650879,
112
+ 0.013502464294433594,
113
+ 0.013892607688903809,
114
+ 0.013794303894042969,
115
+ 0.013664256095886231,
116
+ 0.013757439613342285,
117
+ 0.01349836826324463,
118
+ 0.013510656356811524,
119
+ 0.01346457576751709,
120
+ 0.013443008422851562,
121
+ 0.013394047737121582,
122
+ 0.013492064476013184,
123
+ 0.013593600273132325,
124
+ 0.013569184303283691,
125
+ 0.013473695755004882
126
  ]
127
  },
128
  "throughput": {
129
  "unit": "samples/s",
130
+ "value": 71.15946763295973
131
  },
132
  "energy": {
133
  "unit": "kWh",
134
+ "cpu": 1.6106660975975584e-07,
135
+ "ram": 8.798254001176066e-08,
136
+ "gpu": 3.3465492237837836e-07,
137
+ "total": 5.837040721498949e-07
138
  },
139
  "efficiency": {
140
  "unit": "samples/kWh",
141
+ "value": 1713196.8881368374
142
  }
143
  }
144
  }